Understanding Machine Learning
Machine learning is a subset of artificial intelligence that involves the creation of algorithms that can modify themselves without human intervention to produce desired outputs by learning complex relationships or patterns from data. π§ π€
Key Concepts
- Supervised Learning: Where the algorithm learns from labeled data. It's like teaching a froge to identify lily pads π±.
- Unsupervised Learning: Involves finding hidden patterns in unlabeled data. Imagine a froge discovering new kinds of insects in the wild π.
- Reinforcement Learning: Algorithms learn by taking actions to maximize some notion of cumulative reward. A froge would learn to catch flies more efficiently over time π¦.
Resources and Further Reading
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